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Record W4404414688 · doi:10.16997/jdd.1603

Deliberative Democracy in Practice: Handbooks on Commissioning, Facilitating, and Evaluating Deliberative Processes

2024· article· en· W4404414688 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Deliberative Democracy · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsMcMaster University
FundersUnited Nations Democracy Fund
KeywordsComputer scienceInformation retrievalWorld Wide Web

Abstract

fetched live from OpenAlex

Governments seeking to address declining trust, increasing polarisation, and greater complexity in government policy have increasingly turned to democratic innovations to engage citizens. For practitioners and academics alike, the term ‘deliberative wave’ has become shorthand to describe the increased popularity of these tools and the emergence of a field of study that has the potential to revitalise citizen-state relationships. The practical handbooks reviewed here present a mosaic of tools, resources, and lessons from experience to ensure the successful commissioning, organisation, and facilitation of deliberative mini-publics (DMPs). They each provide valuable insights based on years of expertise developed running processes with publics (Enabling National Initiatives, Facilitating Deliberation) or consolidating a vast array of international experience (Assembling an Assembly, Innovative Citizen Participation, Evaluation Guidelines, Eight Ways to Institutionalise). In this review I reflect on definitions of deliberation; why these guides argue DMPs are important; and the connection between deliberative democracy theory and practice.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.021
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.243
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.003
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.038
GPT teacher head0.404
Teacher spread0.366 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it